Takayoshi Suganami

12.3k citations
121 papers · 9.6k indexed · 3 hit papers · h-index 54

Takayoshi Suganami

120 papers receiving 9.4k citations

Hit Papers

Role of the Toll-like Receptor 4/NF-κB Pathway in Saturat...6412005202620122019250500750

Peers

Takayoshi Suganami
Comparison fields: 5 of 127
  • Nephrology 1.2k
  • Endocrine and Autonomic Systems 679
  • Physiology 2.5k
  • Epidemiology 3.3k
  • Nutrition and Dietetics 1.1k
Replace Massimo Federici with:
Massimo Federici Italy
Takeshi Horio Japan
Jian‐Mei Li China
Peter R. Kvietys United States
Marc Foretz France
János G. Filep Canada
Myung‐Shik Lee South Korea
Kazuhisa Maeda Japan
Ronald J. Korthuis United States
Naoto Kubota Japan
Takayoshi Suganami relative to Massimo Federici Italy Massimo Federici's profile →
Citations per field
00.5×4.2×
Massimo Federici · 1×
Citations per year

Countries citing papers authored by Takayoshi Suganami

Since Specialization
Citations

This map shows the geographic impact of Takayoshi Suganami's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takayoshi Suganami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Suganami more than expected).

Fields of papers citing papers by Takayoshi Suganami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takayoshi Suganami. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takayoshi Suganami. The network helps show where Takayoshi Suganami may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Takayoshi Suganami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takayoshi Suganami Line = papers co-authored together Takayoshi Suganami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202324
3 202320
4 202310
5 202219
6 202226
7 202015
8 202049
9 201919
10 201866
11 2017110
12 201716
13 201314
14 201151
15 20103
16 200973
17 2007108
18 2001132
19 200098
20 200053

About Takayoshi Suganami

Takayoshi Suganami is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Physiology, having authored 121 papers that have together received 9.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (32 papers), Liver Disease Diagnosis and Treatment (19 papers), Regulation of Appetite and Obesity (11 papers), Fatty Acid Research and Health (8 papers), Immune Cell Function and Interaction (8 papers), Diet, Metabolism, and Disease (7 papers) and Cardiovascular Disease and Adiposity (7 papers). The work is most often cited by research in Nephrology (1.2k citations), Endocrine and Autonomic Systems (679 citations) and Physiology (2.5k citations). Takayoshi Suganami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihiro Ogawa, Junko Nishida, Miyako Tanaka, Michiko Itoh, Yasutomi Kamei, Masashi Mukoyama, Kiyoshi Mori, Akira Sugawara, Kazuwa Nakao and Seiichiro Aoe. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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